SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE

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HOMAYOUNPOUR M.MEHDI; KHORASHADIZADEH MARYAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2004 | Issue:11

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Information Seminar Paper

Title

SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE

Author(s)

HOMAYOUNPOUR M.MEHDI | KHORASHADIZADEH MARYAM

Keywords

SEX IDENTIFICATION

SUPPORT VECTOR MACHINE

CEPSTRAL COEFFICIENTS

Abstract

TODAY, SEX IDENTIFICATION IS CONSIDERED AS AN IMPORTANT TASK IN INFORMATION TECHNOLOGY APPLICATIONS. THIS PAPER CONCERNS SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE (SVM). RBF AND POLYNOMIAL AS TWO KERNEL FUNCTIONS WERE STUDIED. IT WAS OBSERVED THAT RBF KERNEL OUTPERFORMS THE POLYNOMIAL KERNEL FUNCTION. LPCC AND MFCC CEPSTRAL COEFFICIENTS AND THEIR FIRST DERIVATIVES WERE ALSO EVALUATED. THEY BOTH SEEM TO BE GOOD FEATURES FOR SEX IDENTIFICATION, BUT MFCC COEFFICIENTS WERE SHOWN TO RESULT A BETTER PERFORMANCE THAN LPCCS. ADDING FEATURE DERIVATIVES TO FEATURES VECTORS WAS ALSO SHOWN TO IMPROVE THE SEX IDENTIFICATION PERFORMANCE.

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Cite

APA: Copy

HOMAYOUNPOUR, M.MEHDI, & KHORASHADIZADEH, MARYAM. (2004). SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/906378/en

Vancouver: Copy

HOMAYOUNPOUR M.MEHDI, KHORASHADIZADEH MARYAM. SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE. 2004. Available from: https://sid.ir/paper/906378/en

IEEE: Copy

M.MEHDI HOMAYOUNPOUR, and MARYAM KHORASHADIZADEH, “SEX IDENTIFICATION USING SUPPORT VECTOR MACHINE,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2004, [Online]. Available: https://sid.ir/paper/906378/en

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